Inngest vs Celery

Inngest9.0Visit Celery8.6Visit

Higher score Inngest #3 in Task Queue Software 9.0/10 Free plan Free plan✓ 0 of 3 features Visit Inngest

vs

Celery #7 in Task Queue Software 8.6/10 Open source ✓ 3 of 3 features Visit Celery

• Inngest fits best

  Serverless event-driven task execution

• Celery fits best

  Python teams needing mature distributed tasks

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Side by side

Feature	Inngest 9.0/10 Visit ↗	Celery 8.6/10 Visit ↗
At a glance
Editor score	9.0	8.6
Ranking	#3 in Task Queue Software	#7 in Task Queue Software
Best for	Serverless event-driven task execution	Python teams needing mature distributed tasks
Pricing model	Free plan + paid	Free
Starting price	$99/mo	Open source
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Deployment	Cloud, Self-hosted	Self-hosted
Platforms	Web	Linux, macOS
Integrations	8 integrations	10 integrations
Features Inngest 0/3 · Celery 3/3
Custom retry policy	Not checked yet	✓ (best)
Scheduled jobs	Not checked yet	✓ (best)
Dead-letter queue	Not checked yet	✓ (best)
Specs
Deployment model	Not checked yet	Self_hosted
Maximum payload size	Not checked yet	Not checked yet
Official SDK languages	Not checked yet	Python
Our review
Pros	Durable state, step retries, and memoization support reliable workflows Event, cron, and webhook triggers cover varied task entry points Concurrency, observability, and broad serverless integrations are included	Runs tasks across worker processes and machines Flexible retries, scheduling, routing, and concurrency options Broad broker, backend, database, and search integrations
Cons	Runs on your own compute rather than providing a conventional hosted runtime Pro starts at $99 per month for higher execution and concurrency limits Advanced tracing, SAML, RBAC, and audit trails are reserved for Enterprise	Official SDK coverage is Python-only Teams manage workers, brokers, and result stores themselves Dead-letter handling depends on broker configuration
Our verdict	Inngest is an event-driven durable execution platform for developers building background jobs, scheduled tasks, workflows, and AI applications. Functions can be written in TypeScript, Python, or Go and run on serverless, container, or… Read the review →	Celery is an open-source, self-hosted distributed task queue for Python applications. It lets applications submit asynchronous work through a message broker while workers execute tasks across processes or machines. The feature set suits… Read the review →

Strengths and trade-offs

• Inngest — where it wins

  • Durable state, step retries, and memoization support reliable workflows
  • Event, cron, and webhook triggers cover varied task entry points
  • Concurrency, observability, and broad serverless integrations are included

  Where it doesn't

  • Runs on your own compute rather than providing a conventional hosted runtime
  • Pro starts at $99 per month for higher execution and concurrency limits
  • Advanced tracing, SAML, RBAC, and audit trails are reserved for Enterprise

• Celery — where it wins

  • Runs tasks across worker processes and machines
  • Flexible retries, scheduling, routing, and concurrency options
  • Broad broker, backend, database, and search integrations

  Where it doesn't

  • Official SDK coverage is Python-only
  • Teams manage workers, brokers, and result stores themselves
  • Dead-letter handling depends on broker configuration

• Inngest9.0/10 · Free plan

  A flexible task engine for serverless teams that need durable, observable execution.

  Visit InngestFull verdict →
• Celery8.6/10 · Open source

  A mature self-hosted queue for Python teams that need distributed task control.

  Visit CeleryFull verdict →